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Record W4405450063 · doi:10.1017/s0029665124007158

Systematic review of school-based studies for the prevention and management of childhood obesity

2024· article· en· W4405450063 on OpenAlexaffabout
Ladira Novia Billy, Isaak Ioannis, G. Alkyoni, Annette Tim

Bibliographic record

VenueProceedings of The Nutrition Society · 2024
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsImpact
Fundersnot available
KeywordsOverweightPsychological interventionObesityMedicineWaistChildhood obesityPopulationIntervention (counseling)DemographyWeight managementGerontologyEnvironmental healthFamily medicineNursing

Abstract

fetched live from OpenAlex

Overweight and obesity rates have reached epidemic proportions and are still escalating. In the domain of childhood obesity prevention and management the school plays a vital role, due to its pedagogical position and exposure (1) . The aim of this study was to conduct a systematic review examining the effectiveness, barriers and facilitators in school-based prevention and management interventions on childhood overweight and obesity. The search criteria were, overweight and obese, 2-19 years old, school-based RCTs, no intervention, and change in overweight and obesity parameters (e.g., prevalence, BMI, waist circumference). Additional eligibility criteria were peer-reviewed articles published in the last 10 years, conducted in Europe, Canada, USA, or Oceania. The selection and data collection process were carried out by two reviewers and disagreements settled by a third. The clinical and statistical heterogeneity of studies lead to an analysis based on themes of recurring methods. The heterogeneity also resulted in that only the direction of the result could be analysed, with results reported as having a positive, negative, or inconclusive effect on the population based on the statistical tests performed. If a secondary obesity parameter showed a different effect direction it was noted as a contradicting result. Of 8725 unique articles identified, 76 fulfilled the selection criteria. Two dimensions (nutrition and physical activity) with three intended mediators (knowledge, behaviour training, and environment) of interventions were identified. Thirty-eight studies were conducted in Europe, 32 in North America, and 6 in Oceania. The median age of participants was 10.8 years. The median sex distribution of participants was 50.5%. Seventytwo percent of studies were cluster randomised at school level, and the rest on class or region. Only 22% of studies were blinded and the mean retention rate was 83.1%. In nutrition, the most common interventions included a teaching component (n = 29), or both a teaching and behaviour component (n = 24). In physical activity, the most common intervention included a behavioural component (n = 33), followed by knowledge only (n = 22) and knowledge and behaviour (n = 18). From the summative analyses performed on the main outcome variable of each intervention, 61% of all intervention arms had a positive effect, ranging from 54% to 70%. Five percent had a negative effect, ranging from 0% to 10%. Of the interventions that had a positive effect 50% displayed contradicting results from other obesity markers, ranging from 6% to 44%. Of single components, environment was most effective for nutrition and least effective for physical activity. Too few studies had negative findings to warrant an analysis. Contradicting results were most frequent for the environmental component of the nutrition dimension. Interventions targeting physical activity and nutrition can be effective in preventing and managing overweight and obesity. Depending on the intended mediator and number of mediators results may vary.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.316
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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